Title :
A Purchase Model with Unascertained Information
Author :
Li, Wei ; Wang, Gui-Xiang
Author_Institution :
Sch. of Sci., Hangzhou Dianzi Univ.
Abstract :
This paper presents a purchase model in which the price variables are unascertained numbers. First, the basic theory of unascertained information proposed recently is applied to construct a dynamical programming model of purchase problem. Then by using recursive method in a reverse order, the optimal solution in the meaning of minimizing the unascertained expectation of the purchase cost, is obtained. Sensitivity analysis of the optimal solution of this model indicates the model is robust. A numeral example is also constructed to illustrate the detail of the steps for finding an optimal solution
Keywords :
dynamic programming; pricing; purchasing; dynamical programming model; optimal solution; price variable; purchase model; recursive method; sensitivity analysis; unascertained information; Cost function; Cybernetics; Dynamic programming; Electronic mail; Fluctuations; Fuzzy sets; Machine learning; Probability distribution; Random variables; Robustness; Sensitivity analysis; Stochastic processes; Purchase problem; recursion; unascertained expectation; unascertained rational number;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259047
